Research Assistant in Geospatial Artificial Intelligence - Research Affiliate Program

Important messages

We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.

Assessment accommodation

**Eligible veterans and CAF members may apply.** The Government of Canada is committed to building a skilled workforce that is representative of Canada's diversity, which includes the recruitment of Canadian Veterans and releasing Canadian Armed Forces personnel.

We encourage applicants to identify any abilities, competencies, and/or experiences acquired through employment with the Canadian Armed Forces where applicable.

Duties

The Canadian Wood Fibre Centre, part of the Canadian Forest Service of Natural Resources Canada, in collaboration with Université Laval in Quebec City, is looking for a graduate student under PAR for a research project on the classification of forest species by remote sensing.

The successful candidate will participate in a study on the application of artificial intelligence techniques, in particular deep learning, to estimate forest species composition on massive data sets acquired by multi-source remote sensing, including active LiDAR (Light Detection and Ranging) technology and multi- or hyper-spectral sensors. The project will aim to apply the new species composition mapping tools on the Quebec forest territory with the collaboration of the Ministère des Forêts, de la Faune et des Parcs du Québec.

The student should also seize opportunities to disseminate research results by publishing articles in scientific journals or participating in conferences. Planning data acquisition and conducting field campaigns are activities that may be considered.

Work environment

Most of the experimental and analytical work will take place at Université Laval and, on some occasions, at the Laurentian Forestry Centre of the Canadian Wood Fibre Centre, Canadian Forest Service.

Intent of the process

The intent of this process is to hire one (1) student through the Research Affiliate Program for an initial period of 4 months, full-time, with the possibility of being rehired either part-time or full-time.

In order to be considered under the Research Affiliate Program (RAP), you must meet the following criteria:
- Be recognized as a full-time student by the post-secondary institution in which you are currently enrolled (proof will be required).
- Be enrolled in an academic program that requires research as part of their curriculum.
- Be the minimum age required to work in the province or territory where the job is located.

Positions to be filled: 1

Information you must provide

Your résumé.

A covering letter in 1,000 words (maximum) "A cover letter in 1,000 words (maximum) briefly explaining a research project related to the classification of tree species by remote sensing using artificial intelligence in natural commercial forests."

Contact information for 2 references.

A list of the courses you have taken as well as any courses that you are taking now, or that you will be taking this academic year

The following will be applied / assessed at a later date (essential for the job)

English essential

Information on language requirements

Have a Master's degree (or equivalent for a PhD project) and solid experience in geomatics, forestry and artificial intelligence. Must demonstrate an interest in machine learning and forest remote sensing techniques AND be currently enrolled or planning to enroll in a graduate doctoral program in the Faculty of Forestry, Geography and Geomatics at Université Laval.

Degree equivalency

The student must have knowledge of computer programming, remote sensing, and statistics, as well as the ability to read and understand scientific texts in English. The student must have the ability to work independently and to present the progress of his/her work in clear terms.

Conditions of employment

Reliability Status security clearance

Other information

The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.

Information on employment equity

Reference checks may be sought.

An interview may be administered.

You must provide proof of your education credentials.

Persons are entitled to participate in the appointment process in the official language(s) of their choice.

Preference

Preference will be given to Canadian citizens.

We thank all those who apply. Only those selected for further consideration will be contacted.